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sample_010.json process_images.cpython-313.pyc sample_002.json

data/labels/sample_010.json

{
    "image_id": "sample_010",
    "classes": [
        "agriculture",
        "water",
        "forest",
        "barren"
    ],
    "regions": [
        {
            "class": "agriculture",
            "polygon": [
                [
                    128,
                    168
                ],
                [
                    272,
                    168
                ],
                [
                    272,
                    224
                ],
                [
                    128,
                    224
                ]
            ],
            "area": 8064.0,
            "confidence": 0.97
        },
        {
            "class": "water",
            "polygon": [
                [
                    112,
                    56
                ],
                [
                    219,
                    56
                ],
                [
                    219,
                    199
                ],
                [
                    112,
                    199
                ]
            ],
            "area": 15301.0,
            "confidence": 0.86
        },
        {
            "class": "forest",
            "polygon": [
                [
                    288,
                    178
                ],
                [
                    377,
                    178
                ],
                [
                    377,
                    269
                ],
                [
                    288,
                    269
                ]
            ],
            "area": 8099.0,
            "confidence": 0.94
        },
        {
            "class": "barren",
            "polygon": [
                [
                    264,
                    330
                ],
                [
                    346,
                    330
                ],
                [
                    346,
                    475
                ],
                [
                    264,
                    475
                ]
            ],
            "area": 11890.0,
            "confidence": 0.89
        }
    ],
    "annotation_date": "2025-12-28",
    "annotator": "RSK World"
}

105 lines•2.3 KB

json

process_images.cpython-313.pyc

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data/building_detection/sample_002.json

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{
    "image_id": "sample_002",
    "buildings": [
        {
            "id": "bld_001",
            "bbox": [
                283,
                342,
                50,
                35
            ],
            "confidence": 0.95,
            "area": 1750.0,
            "type": "industrial",
            "height_estimate": 23.7
        },
        {
            "id": "bld_002",
            "bbox": [
                171,
                172,
                40,
                39
            ],
            "confidence": 0.95,
            "area": 1560.0,
            "type": "industrial",
            "height_estimate": 21.8
        },
        {
            "id": "bld_003",
            "bbox": [
                465,
                246,
                30,
                49
            ],
            "confidence": 0.92,
            "area": 1470.0,
            "type": "industrial",
            "height_estimate": 21.9
        },
        {
            "id": "bld_004",
            "bbox": [
                319,
                101,
                30,
                44
            ],
            "confidence": 0.89,
            "area": 1320.0,
            "type": "residential",
            "height_estimate": 12.3
        },
        {
            "id": "bld_005",
            "bbox": [
                265,
                191,
                57,
                51
            ],
            "confidence": 0.86,
            "area": 2907.0,
            "type": "commercial",
            "height_estimate": 17.3
        }
    ],
    "detection_date": "2025-12-28",
    "model_version": "v1.0",
    "total_buildings": 5
}

73 lines•1.7 KB

json

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